Reinforcement Learning using Physics Inspired Graph Convolutional Neural Networks.
Tong WuAnna ScaglioneDaniel B. ArnoldPublished in: Allerton (2022)
Keyphrases
- convolutional neural networks
- reinforcement learning
- graph theory
- function approximation
- computer science
- graph model
- structured data
- graph representation
- multi agent
- graph theoretic
- weighted graph
- random walk
- action selection
- bipartite graph
- markov decision processes
- neural network
- learning problems
- directed graph
- transfer learning
- robotic control
- state space
- learning algorithm
- convolutional network
- dependency graph
- graph matching
- graph databases
- directed acyclic graph
- graph structure
- connected components
- np complete
- dynamic programming
- machine learning